RRepoGEO

REPOGEO REPORT · LITE

patrick-kidger/jaxtyping

Default branch main · commit a3e7befb · scanned 5/24/2026, 3:31:39 AM

GitHub: 1,815 stars · 88 forks

AI VISIBILITY SCORE
53 /100
Needs work
Category recall
1 / 2
Avg rank #12.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface patrick-kidger/jaxtyping, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://docs.kidger.site/jaxtyping/
  • highreadme#2
    Strengthen README opening for runtime validation and multi-framework support

    Why:

    CURRENT
    A library providing type annotations **and runtime type-checking** for the shape and dtype of JAX/PyTorch/NumPy/MLX/TensorFlow arrays and tensors.
    COPY-PASTE FIX
    A library for **robust runtime validation** and static type-checking of array shapes and dtypes across JAX, PyTorch, NumPy, MLX, and TensorFlow. It has no JAX dependency.
  • mediumtopics#3
    Add more specific topics for array validation and multi-framework support

    Why:

    CURRENT
    jax, python-typing, typing
    COPY-PASTE FIX
    jax, python-typing, typing, numpy, pytorch, tensorflow, mlx, array-validation, tensor-validation, runtime-checking, shape-checking, dtype-checking, type-hints

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
1 / 2
50% of queries surface patrick-kidger/jaxtyping
Avg rank
#12.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
pytorch/pytorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 2×
  2. tensorflow/tensorflow · recommended 2×
  3. Pydantic · recommended 1×
  4. NumPy-Pydantic · recommended 1×
  5. Pandera · recommended 1×
  • CATEGORY QUERY
    How can I add robust runtime validation for array shapes and dtypes in Python?
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. NumPy-Pydantic
    3. Pandera
    4. Typeguard
    5. Valida

    AI recommended 5 alternatives but never named patrick-kidger/jaxtyping. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for static and runtime checking of tensor dimensions and types?
    you: #12
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. TorchScript (pytorch/pytorch)
    3. MyPy (python/mypy)
    4. torchtyping (patrick-kidger/torchtyping)
    5. TensorFlow (tensorflow/tensorflow)
    6. tf.TensorSpec (tensorflow/tensorflow)
    7. TensorFlow Probability (tensorflow/probability)
    8. TF-Agents (tensorflow/agents)
    9. NumPy (numpy/numpy)
    10. nptyping (ramon-oliveira/nptyping)
    11. JAX (google/jax)
    12. jaxtyping (google/jaxtyping) ← you
    13. ONNX (onnx/onnx)
    14. ONNX Runtime (microsoft/onnxruntime)
    15. dm-tree (deepmind/tree)
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of patrick-kidger/jaxtyping?
    pass
    AI named patrick-kidger/jaxtyping explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts patrick-kidger/jaxtyping in production, what risks or prerequisites should they evaluate first?
    pass
    AI named patrick-kidger/jaxtyping explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo patrick-kidger/jaxtyping solve, and who is the primary audience?
    pass
    AI named patrick-kidger/jaxtyping explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite